Database Insights

Compare streaming and batch data processing — latency, throughput, tooling, and when each approach makes sense

Go beyond basics with Debezium — handle schema evolution, manage connector offsets, and build resilient CDC pipelines

Compare Delta Lake, Apache Iceberg, and Apache Hudi — ACID transactions, time travel, and format interoperability

Debezium reads MySQL binary logs and PostgreSQL WAL to stream every row-level change as a Kafka event in near real-time — replacing nightly batch ETL with sub-second data propagation.

Stream PostgreSQL changes to Kafka using pgoutput and Debezium — setup, monitoring, and lag management

Use Spark with JDBC to read from and write to relational databases — partition strategies, predicate pushdown, and write modes

A production guide to TimescaleDB — hypertable setup, automatic chunk management, columnar compression policies, retention policies, continuous aggregates with time_bucket(), and comparison against InfluxDB and Prometheus.

Build a MySQL CDC pipeline using binlog and Kafka — Debezium, Maxwell, or Canal — trade-offs and production setup

Implement the transactional outbox pattern to publish events reliably from MySQL or PostgreSQL without dual-write problems

Compare CDC, ETL, and ELT — latency, complexity, cost, and when each pattern fits your data pipeline needs

Use Apache Airflow to orchestrate database ETL, backup jobs, and maintenance tasks — DAGs, sensors, and best practices

Monitor MySQL and PostgreSQL with Prometheus, Grafana, and PMM. Covers mysqld_exporter, postgres_exporter, alert rules, and production dashboard configuration.